DGAT-onco: A differential analysis method to detect oncogenes by integrating functional information of mutations

Author(s):  
Haoyang Zhang ◽  
Junkang Wei ◽  
Zifeng Liu ◽  
Xun Liu ◽  
Yutian Chong ◽  
...  
2017 ◽  
Vol 95 (9) ◽  
pp. 855-857
Author(s):  
Henrique Reggiani ◽  
Jorge Meléndez

The differential abundance analysis method can improve the precision of stellar chemical abundances. The method compares the equivalent widths of a certain line in a star with the same line in a star considered to be a standard representative of its class, using high resolution and high signal to noise ratio spectra. The method has achieved great results by reducing the measurement errors to unprecedentedly low levels. However, to date, there has not been a consistent analysis on the actual improvements of this method when compared to a classical analysis in metal-poor stars. Here we present a comparison between the errors of a classical stellar analysis and a differential analysis among low-metallicity stars.


Author(s):  
N. Daroogheh ◽  
A. Baniamerian ◽  
H. Nayyeri ◽  
K. Khorasani

In this paper the problem of jet engine deterioration detection and health monitoring is investigated by utilizing two methods. The first method is based on the fusion of the modified CUSUM (CUmulative SUM) method with the differential analysis approach. An enhanced differential analysis method is developed through which the degradation is captured from the unsymmetrical performance analysis of both engines on an aircraft. This is achieved by considering the effects of minor maintenance actions that are not reported. In the second approach, a statistical method based on the Hotelling’s T2-test approach is utilized to detect gradual degradations in the engine performance. The performance of our proposed approaches is evaluated by implementing them on a dual spool engine model that is developed by using the GSP software.


Author(s):  
Alan P. Koretsky ◽  
Afonso Costa e Silva ◽  
Yi-Jen Lin

Magnetic resonance imaging (MRI) has become established as an important imaging modality for the clinical management of disease. This is primarily due to the great tissue contrast inherent in magnetic resonance images of normal and diseased organs. Due to the wide availability of high field magnets and the ability to generate large and rapidly switched magnetic field gradients there is growing interest in applying high resolution MRI to obtain microscopic information. This symposium on MRI microscopy highlights new developments that are leading to increased resolution. The application of high resolution MRI to significant problems in developmental biology and cancer biology will illustrate the potential of these techniques.In combination with a growing interest in obtaining high resolution MRI there is also a growing interest in obtaining functional information from MRI. The great success of MRI in clinical applications is due to the inherent contrast obtained from different tissues leading to anatomical information.


2011 ◽  
Vol 14 (1) ◽  
pp. 21-28
Author(s):  
Mary J. Emm ◽  
Christine P. Cecconi

Clinical supervision is recognized as a distinctive area of practice and expertise, yet professional preparation in this area remains inadequate. This paper presents functional information describing the development and implementation of an experimental course on administration, supervision, and private practice, based on graduate student perceptions and preferences for course content and types of learning activities. Current pedagogical trends for universal design in learning and fostering student engagement were emphasized, including problem-based and collaborative learning. Results suggest that students were highly pleased with course content, interactive and group activities, as well as with assessment procedures used.


Author(s):  
Carl F. Smith ◽  
Deborah A. Boehm-Davis ◽  
Ronald Chong

Planta Medica ◽  
2007 ◽  
Vol 73 (09) ◽  
Author(s):  
C Chrubasik ◽  
T Maier ◽  
M Luond ◽  
A Schieber

CICTP 2020 ◽  
2020 ◽  
Author(s):  
Hao Zhang ◽  
Yue Li ◽  
Cheng-Qiang Zong ◽  
Chuan-Jin Ou ◽  
Bing-Tao Li

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